"This book explores the field of open source software and processes. This wide area includes the special development process performed by geographically dispersed programmers, community issues like co
This book demonstrates the possibility of transforming machine learning algorithms into integrated commonsense reasoning processes in which inductive and deductive inferences correlate and support one
Machine learning and nonparametric function estimation procedures can be effectively used in forecasting. One important and current application is used to make forecasts of “future dangerousness" to i
With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different ap
This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will descr
Finding Data Anomalies You Didn't Know to Look ForAnomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and comple
This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on
By teaching you how to code machine-learning algorithms using a test-driven approach, this practical book helps you gain the confidence you need to use machine learning effectively in a business envir
Machine learning can be a difficult subject if you’re not familiar with the basics. With this book, you'll get a solid foundation of introductory principles used in machine learning with the sta
Already the focus of much interest for 50 years, the study of foreign language learning anxiety (FLLA) still remains a popular research topic among scholars in Western countries. FLLA is believed to b
Motivation is one of the key learner characteristics that determine the rate and success of language learning. This volume addresses motivation in language learning - motives associated with certain f
This book constitutes the refereed joint proceedings of the First International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2018, the First International Workshop on Deep Learning Fail
This book constitutes the refereed proceedings of the 20th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2014, held in Essen, Germany, in April 2
This unique text/reference reviews the key principles and techniques in conceptual modelling which are of relevance to specialists in the field of cultural heritage.Information modelling tasks are a v
The 29 papers in this collection describe processes and frameworks for integrating requirements and software engineering, software tools and methods for supporting productivity, and the development of
No longer confined to medical devices, medical software has become a pervasive technology giving healthcare operators access to clinical information stored in electronic health records and clinical de
This new edition describes current best practices in requirements engineering with a focus primarily on software systems but also on systems that may contain other elements such as hardware or people.
Nineteen articles from academics in computing and telecommunications showcase current scholarship in the use of open source mobile computing technologies for distance and distributed educational proje
Motor Learning and Control: Concepts and Applications provides an introductory study of motor learning and control for students who aspire to become practitioners in exercise science, physical educati
Motor Learning and Control: Concepts and Applications provides an introductory study of motor learning and control for students who aspire to become practitioners in exercise science, physical educati
"Motor Learning and Control: Concepts and Applications provides an introductory study of motor learning and control for students who aspire to become practitioners in exercise science, physical educat
Intelligent Collaborative e-Learning Systems and Applications is a major research theme in CSCL and CSCW research community. It comprises a variety of research topics that focus on developing systems
State-space models are a very flexible class of models used primarily in time series analysis. This book provides a synthesis of recent research in this area, with modern methods and computational gui
Over the last decade lean methods and tools have helped manufacturing organizations improve their productivity levels significantly by focusing on data, systematic elimination of waste and improvement
Get the specialized math skills you need to be successful in today's farming industry with MATHEMATICAL APPLICATIONS IN AGRICULTURE, 2nd Edition. Invaluable in any area of agriculture-from livestock a
